摘要
提供了一种中央空调水系统节能优化的新技术.根据系统主要部件的模型定义了优化的目标函数和约束条件.采用二进制粒子群算法求出优化问题的最优设定参数,说明了算法的实现过程.仿真和实验研究结果表明优化方法相对于传统方法能显著地降低系统能耗.
In this paper,the new optimization technology is presented for central air-conditioning water system.The objective function of optimization and constraints are formulated based on mathematical models of the major components.The optimal configuration parameters are found by binary particle swarm optimization algorithm.The whole implementation procedure of the proposed optimal method is provided.Simulation and experimentation results show that the proposed method indeed improves the system performance significantly as compared with traditional control strategies.
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
北大核心
2010年第6期850-855,共6页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(50678145)
关键词
节能优化
空调水系统
目标函数
二进制粒子群优化算法
energy optimization
air-conditioning water system
objective function
binary particle swarm optimization algorithm
